Data are expressed as mean ± standard error of three replicates, with p ≤ 0.05 considered as statistically significant. Statistical comparisons between the experimental groups and between the different time-endpoints were made by a nonparametric Mann–Whitney test for unpaired data, using the StatView 5.01 for Windows software (version 10 Pro, SAS Institute Inc., Cary, NC, USA) for viability assays. Repeated measure ANOVA was used for weight variation tests.
Statview 5.01 for windows
Manufactured by SAS Institute
Sourced in United States
StatView 5.01 for Windows is a data analysis and presentation software package developed by SAS Institute. It provides tools for data management, statistical analysis, and the creation of publication-quality graphics. The software supports a range of statistical methods, including descriptive statistics, regression analysis, ANOVA, and nonparametric tests. StatView 5.01 for Windows is designed to run on the Microsoft Windows operating system.
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Lab products found in correlation
7 protocols using statview 5.01 for windows
1
Nonparametric Analysis of Cell Viability
2
Statistical Analysis of Cell Culture
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Statistical analysis was performed using StatView 5.01 for Windows (SAS Institute Inc, Cary, NC). Quantitative data were expressed as arithmetic mean plus or minus the standard error of the mean (SEM). Paired analyses were applied to highlight the significant differences due to the exposure of the cell cultures at pH 7.4 or pH 6.9. The one-way analysis of variance (ANOVA) was used to test the effects of the multiple independent variables (K citrate concentrations, alendronate) on the dependent variables, i.e. the biological activities of OC and OB. When ANOVA was positive, the post hoc Bonferroni-Dunn test was applied to highlight the differences among the subgroups. In addition, P values ≤ 0.05 were considered as statistically significant.
3
Survival Analysis of LV Morphology and Shunt Type
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Data are expressed as median (range). The Mann‐Whitney U test or Kruskal‐Wallis test were used to compare 2 or more subgroups. For categorical variables, a χ2 test of independence or Fisher exact test was used. Kaplan‐Meier curves were applied, and the Wilcoxon log‐rank test and Cox regression (95% CI) were used to test for differences in survival and freedom from MAEs between the groups. All risk variables with a P value ≤0.2 were included in a stepwise multivariate Cox regression model and in a later step removed, if not significant or impacting the estimate of other variables significantly. A sensitivity analysis (forward and backward Wald Cox regression model) was done to verify the results from the stepwise Cox regression model. Interaction between the morphological LV subtypes and type of shunt at S1P was tested in a Cox regression model. A P value ≤0.05 was considered statistically significant; P>0.05 but <0.1 was considered a trend. StatView 5.01 for Windows (SAS Institute, Cary, NC) and Statistical Package for Social Sciences version 25 (IBM, Armonk, NY) were used for data analysis.
4
Citrate Supplementation Modulates Osteogenic Cultures
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Calculations and statistical analyses were carried out using StatView 5.01 for Windows (SAS Institute Inc., Cary, NC, USA) and MedCalc Statistical Software version 18.2.1 (MedCalc Software bvba, Ostend, Belgium). The quantitative data were expressed as the arithmetic mean plus or minus the standard error of the mean (SEM). The Shapiro–Wilk test was used to test the normality assumption of the continuous variables, and a logarithmic transformation was applied when the data distribution was non-normal. The Pearson correlation coefficient (R) was used to analyse the degree of association between measured parameters. The effects of the acidic milieu and the treatments were analysed by applying the paired t test. Quantitative parameter changes induced by different concentration of citrate supplements were plotted in line charts by calculating the deviations from the baseline using the following formula:
where the control sample was the culture under standard conditions (osteogenic medium, pH 7.4, citrate 0 mg/mL) and the baseline value was equal to zero. The differences were considered to be statistically significant when the p value was <0.05.
where the control sample was the culture under standard conditions (osteogenic medium, pH 7.4, citrate 0 mg/mL) and the baseline value was equal to zero. The differences were considered to be statistically significant when the p value was <0.05.
5
Nonparametric Statistical Analysis of Viability
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Statistical analyses regarding the differences between the experimental groups and between the two time-endpoints were accomplished by using the nonparametric Mann–Whitney test for unpaired data, using the StatView 5.01 for Windows software (SAS Institute Inc., Cary, NC, USA). Results were considered as mean and transformed into a percentage of viability. Only p < 0.05 was considered statistically significant. The p-value was at the margin of statistical significance, since it was attested at 0.0495.
6
Nonparametric Statistical Analyses
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Statistical analyses regarding the differences between the experimental groups and between the two time-endpoint were accomplished using the nonparametric Mann–Whitney test for unpaired data by means of the StatView 5.01 for Windows software (SAS Institute Inc., Cary, NC, USA). Results were reported as the mean ± standard deviation. Only p < 0.05 was considered statistically significant.
7
Statistical Analysis of Biological Assays
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Data are expressed as mean ± standard deviation of three replicates, with p ≤ 0.05 considered as statistically significant. Statistical comparisons in the biological assays, between the experimental groups and between the different time-endpoints, were made by the nonparametric Mann–Whitney test for unpaired data, using the StatView 5.01 for Windows software (SAS Institute Inc., Cary, NC, USA).
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